{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DVAF7IWYEXZECGHFP3LLXCMIYQ","short_pith_number":"pith:DVAF7IWY","canonical_record":{"source":{"id":"2107.12110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.HE","submitted_at":"2021-07-26T11:05:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"241e3f17c096c304d709d75626e7c644c223c4048e78fd801dcad13ed8c4266a","abstract_canon_sha256":"ad6e202fa3235e70ee65b2d5171e1022241bdbaedc1205eeea0206515f45888c"},"schema_version":"1.0"},"canonical_sha256":"1d405fa2d825f24118e57ed6bb8988c417fd2109bf0d2f169a68017b7ee6107a","source":{"kind":"arxiv","id":"2107.12110","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12110","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12110v1","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12110","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_12","alias_value":"DVAF7IWYEXZE","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_16","alias_value":"DVAF7IWYEXZECGHF","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_8","alias_value":"DVAF7IWY","created_at":"2026-07-05T03:00:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DVAF7IWYEXZECGHFP3LLXCMIYQ","target":"record","payload":{"canonical_record":{"source":{"id":"2107.12110","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.HE","submitted_at":"2021-07-26T11:05:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"241e3f17c096c304d709d75626e7c644c223c4048e78fd801dcad13ed8c4266a","abstract_canon_sha256":"ad6e202fa3235e70ee65b2d5171e1022241bdbaedc1205eeea0206515f45888c"},"schema_version":"1.0"},"canonical_sha256":"1d405fa2d825f24118e57ed6bb8988c417fd2109bf0d2f169a68017b7ee6107a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:00:40.262526Z","signature_b64":"YWxfq17ct15CMk8Zi3ACgxpaE6Ixl51dqkY/G5sWCbzf1vOddn92+pjORTkIx50UrVTVSzqTRaARAXXLg87yAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d405fa2d825f24118e57ed6bb8988c417fd2109bf0d2f169a68017b7ee6107a","last_reissued_at":"2026-07-05T03:00:40.262100Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:00:40.262100Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.12110","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:00:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uRT4ULBW4dysyvduwqiDLlR9YDmLynutfwnc+fXMjqwB/wg6Y76e0QSjmbi71QTE3Fpg/dIS8wGcBzPQDxPhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T22:11:31.416529Z"},"content_sha256":"42d35bb1fbac7112d406fee40928bcf63025850c0e1acca7501427381e0e4200","schema_version":"1.0","event_id":"sha256:42d35bb1fbac7112d406fee40928bcf63025850c0e1acca7501427381e0e4200"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DVAF7IWYEXZECGHFP3LLXCMIYQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"astro-ph.HE","authors_text":"Mirco H\\\"unnefeld (for the IceCube collaboration)","submitted_at":"2021-07-26T11:05:40Z","abstract_excerpt":"The field of deep learning has become increasingly important for particle physics experiments, yielding a multitude of advances, predominantly in event classification and reconstruction tasks. Many of these applications have been adopted from other domains. However, data in the field of physics are unique in the context of machine learning, insofar as their generation process and the laws and symmetries they abide by are usually well understood. Most commonly used deep learning architectures fail at utilizing this available information. In contrast, more traditional likelihood-based methods ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12110","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2107.12110/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:00:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q49BZ0djL3npoQhpDiFpTEXG1pQz0QTSMuBq1wWGxdIJWPFTTTb3wH6RFlKZCVI/i64e9pWCu1ZYWpp502XGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T22:11:31.417271Z"},"content_sha256":"ed247a039114ab353b0275cbea41ea121c947368988cc4e6a326a23373ff0283","schema_version":"1.0","event_id":"sha256:ed247a039114ab353b0275cbea41ea121c947368988cc4e6a326a23373ff0283"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/bundle.json","state_url":"https://pith.science/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T22:11:31Z","links":{"resolver":"https://pith.science/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ","bundle":"https://pith.science/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/bundle.json","state":"https://pith.science/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DVAF7IWYEXZECGHFP3LLXCMIYQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DVAF7IWYEXZECGHFP3LLXCMIYQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ad6e202fa3235e70ee65b2d5171e1022241bdbaedc1205eeea0206515f45888c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.HE","submitted_at":"2021-07-26T11:05:40Z","title_canon_sha256":"241e3f17c096c304d709d75626e7c644c223c4048e78fd801dcad13ed8c4266a"},"schema_version":"1.0","source":{"id":"2107.12110","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12110","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12110v1","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12110","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_12","alias_value":"DVAF7IWYEXZE","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_16","alias_value":"DVAF7IWYEXZECGHF","created_at":"2026-07-05T03:00:40Z"},{"alias_kind":"pith_short_8","alias_value":"DVAF7IWY","created_at":"2026-07-05T03:00:40Z"}],"graph_snapshots":[{"event_id":"sha256:ed247a039114ab353b0275cbea41ea121c947368988cc4e6a326a23373ff0283","target":"graph","created_at":"2026-07-05T03:00:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2107.12110/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field of deep learning has become increasingly important for particle physics experiments, yielding a multitude of advances, predominantly in event classification and reconstruction tasks. Many of these applications have been adopted from other domains. However, data in the field of physics are unique in the context of machine learning, insofar as their generation process and the laws and symmetries they abide by are usually well understood. Most commonly used deep learning architectures fail at utilizing this available information. In contrast, more traditional likelihood-based methods ar","authors_text":"Mirco H\\\"unnefeld (for the IceCube collaboration)","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.HE","submitted_at":"2021-07-26T11:05:40Z","title":"Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12110","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:42d35bb1fbac7112d406fee40928bcf63025850c0e1acca7501427381e0e4200","target":"record","created_at":"2026-07-05T03:00:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ad6e202fa3235e70ee65b2d5171e1022241bdbaedc1205eeea0206515f45888c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.HE","submitted_at":"2021-07-26T11:05:40Z","title_canon_sha256":"241e3f17c096c304d709d75626e7c644c223c4048e78fd801dcad13ed8c4266a"},"schema_version":"1.0","source":{"id":"2107.12110","kind":"arxiv","version":1}},"canonical_sha256":"1d405fa2d825f24118e57ed6bb8988c417fd2109bf0d2f169a68017b7ee6107a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d405fa2d825f24118e57ed6bb8988c417fd2109bf0d2f169a68017b7ee6107a","first_computed_at":"2026-07-05T03:00:40.262100Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:00:40.262100Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YWxfq17ct15CMk8Zi3ACgxpaE6Ixl51dqkY/G5sWCbzf1vOddn92+pjORTkIx50UrVTVSzqTRaARAXXLg87yAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:00:40.262526Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.12110","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42d35bb1fbac7112d406fee40928bcf63025850c0e1acca7501427381e0e4200","sha256:ed247a039114ab353b0275cbea41ea121c947368988cc4e6a326a23373ff0283"],"state_sha256":"777bc890cf70402a2f9b160b73e09eeefbfa2ac32c7a3eb1b25e37472ee4f45b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ig+sJbV0VT7sjQjwdswuF59jl+3VtemNmcLzihwRtaNwSM0K4LnW0751wDKOIm9Osrh3aCBqlQ/ikPTQS3CrDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T22:11:31.421957Z","bundle_sha256":"90af9214f5d5d39b8f9be8ad44f858f3d2232851e735ef4f76af20030b51e8a1"}}